diff_of_means ratio_of_sd amplitude_ratio_of_means maximum_error ks_mean_on_coarse_res_with_extremes qqplot_mae acf_mae extremogram_mae
cnn.mri_esm2_0.ssp434 0.00% 1.141 0.815 0.440 0.413 0.765 0.146 0.076
cnn.mri_esm2_0.ssp370 0.03% 1.086 0.789 0.428 0.433 0.546 0.139 0.072
nv.mri_esm2_0.ssp370 -0.13% 1.109 0.961 0.114 0.287 0.631 0.068 0.034
cnn.mri_esm2_0.ssp245 -0.15% 1.141 0.831 0.441 0.421 0.768 0.144 0.108
nv.mri_esm2_0.ssp434 -0.17% 1.155 0.963 0.108 0.276 0.878 0.085 0.053
xgboost.mri_esm2_0.ssp370 -0.17% 1.061 0.884 0.224 0.299 0.541 0.096 0.025
cnn.ec_earth3.ssp434 -0.19% 0.974 0.668 0.454 0.370 0.562 0.174 0.071
xgboost.mri_esm2_0.ssp434 -0.20% 1.099 0.901 0.215 0.297 0.724 0.106 0.020
lstm.mri_esm2_0.ssp370 -0.24% 1.042 0.769 0.325 0.401 0.703 0.122 0.037
nv.ec_earth3.ssp434 -0.27% 1.019 0.946 0.163 0.176 0.775 0.065 0.021
lstm.mri_esm2_0.ssp434 -0.27% 1.091 0.799 0.316 0.373 0.778 0.127 0.022
xgboost.ec_earth3.ssp434 -0.28% 0.965 0.718 0.259 0.285 0.838 0.139 0.032
nv.mri_esm2_0.ssp245 -0.32% 1.153 0.962 0.112 0.304 1.031 0.086 0.100
xgboost.mri_esm2_0.ssp245 -0.34% 1.094 0.922 0.216 0.294 0.983 0.097 0.020
cnn.cesm2.ssp585 -0.37% 0.958 0.744 0.415 0.168 1.081 0.126 0.060
lstm.ec_earth3.ssp434 -0.39% 0.933 0.619 0.336 0.373 1.141 0.167 0.052
lstm.mri_esm2_0.ssp245 -0.41% 1.090 0.817 0.299 0.349 1.203 0.122 0.019
cnn.cesm2.ssp245 -0.43% 0.964 0.750 0.441 0.287 1.255 0.128 0.078
nv.cesm2.ssp585 -0.44% 0.995 0.958 0.111 0.053 1.294 0.031 0.016
xgboost.cesm2.ssp585 -0.47% 0.947 0.811 0.249 0.089 1.379 0.082 0.012
cnn.cesm2.ssp370 -0.50% 0.929 0.741 0.425 0.209 1.450 0.119 0.042
nv.cesm2.ssp245 -0.51% 0.997 0.956 0.126 0.137 1.482 0.034 0.041
xgboost.cesm2.ssp245 -0.53% 0.947 0.818 0.256 0.165 1.541 0.080 0.019
lstm.cesm2.ssp585 -0.56% 0.923 0.710 0.260 0.190 1.628 0.113 0.031
nv.cesm2.ssp370 -0.57% 0.967 0.959 0.127 0.041 1.651 0.019 0.017
xgboost.cesm2.ssp370 -0.59% 0.917 0.809 0.247 0.118 1.735 0.072 0.017
lstm.cesm2.ssp245 -0.62% 0.926 0.719 0.269 0.281 1.810 0.112 0.040
lstm.cesm2.ssp370 -0.68% 0.895 0.708 0.273 0.224 1.970 0.105 0.021

Time series of the first days

How Often Peaks Hit Hourly

QQ Plot

Distribution of the undownscaled value on days with estimated extremes values.

On the x-axis we have the daily mean (standardized). It says Undownscaled value, but is the daily mean after the downscaling. A good idea is to plot the original undownscaled value.

The purpose of this plot is to illustrate the distribution of P(undownscaled value | we predicted an extreme). This is useful because it reveals how much information we can recover concerning extreme events. If the distribution is skewed to the right, it suggests that we’re predicting extreme values only when extreme values have already occurred. Conversely, if the lower tail of the distribution resembles the reanalysis data, it indicates that we can capture short-duration extremes (e.g., brief periods of heavy rainfall, such as an intense downpour lasting an hour before stopping).

Autocorrelogram

Extremogram